Prepositioning Network Design for Humanitarian Relief Purposes under Correlated Demand Uncertainty

Abstract excerpt

Prepositioning relief network is an effective strategy to mitigate the impact of natural disasters and public health emergencies, such as the COVID-19 pandemic. However, designing a proper network is challenging due to limited information and, more importantly, the spatially correlated demand uncertainty that exists among affected areas. We consider a network design problem for humanitarian relief purposes, where...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• Artificial Intelligence
• Biological Evolution
• Computer Simulation
• Crossing Over, Genetic
• Models, Theoretical
• Mutation
• Pandemics

Identifiers and source

Literature Corpus work

b917add5-aa42-53dc-b1f7-ed33f006ccce

DOI

10.2139/ssrn.4351436